{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "std::cout are redirected to python::stdout\n",
      "std::cerr are redirected to python::stderr\n",
      "2021-02-12 17:01:00.205 [HKU-I] - Using SQLITE3 BaseInfoDriver (BaseInfoDriver.cpp:58)\n",
      "2021-02-12 17:01:00.207 [HKU-I] - Loading market information... (StockManager.cpp:473)\n",
      "2021-02-12 17:01:00.208 [HKU-I] - Loading stock type information... (StockManager.cpp:486)\n",
      "2021-02-12 17:01:00.209 [HKU-I] - Loading stock information... (StockManager.cpp:422)\n",
      "2021-02-12 17:01:00.293 [HKU-I] - Loading stock weight... (StockManager.cpp:503)\n",
      "2021-02-12 17:01:01.803 [HKU-I] - Loading KData... (StockManager.cpp:138)\n",
      "2021-02-12 17:01:01.809 [HKU-I] - Preloading all day kdata to buffer! (StockManager.cpp:161)\n",
      "2021-02-12 17:01:01.832 [HKU-I] - 0.03s Loaded Data. (StockManager.cpp:149)\n",
      "Wall time: 2.91 s\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%time from hikyuu.interactive import *\n",
    "#use_draw_engine('echarts') #use_draw_engine('matplotlib')  #默认为'matplotlib'绘图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1 简单示例\n",
    "========\n",
    "\n",
    "查询并绘制上证指数最后100个交易日的K线数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "s = sm['sh000001']\n",
    "k = s.get_kdata(Query(-100))  \n",
    "k.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2 查看与遍历K线数据\n",
    "==========\n",
    "\n",
    "K线数据可以象list一样遍历和查看具体值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "KData{\n",
      "  size : 100\n",
      "  stock: Stock(SH, 000001, 上证指数, 指数, 1, 1990-12-19 00:00:00, +infinity),\n",
      "  query: KQuery(-100, 9223372036854775807, INDEX, DAY, NO_RECOVER)\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "s = sm['sh000001']\n",
    "k = s.get_kdata(Query(-100))  \n",
    "print(k)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[KRecord(Datetime(202102010000), 3477.1700, 3506.3900, 3469.8800, 3505.2800, 37147305.6000, 2775679.0000),\n",
       " KRecord(Datetime(202102020000), 3510.8100, 3535.5000, 3495.5700, 3533.6800, 38412786.1000, 2645406.0000),\n",
       " KRecord(Datetime(202102030000), 3531.1500, 3544.0100, 3508.5100, 3517.3100, 41373148.8000, 2973517.0000),\n",
       " KRecord(Datetime(202102040000), 3503.7800, 3524.7200, 3465.7700, 3501.8600, 41874256.7000, 2988348.0000),\n",
       " KRecord(Datetime(202102050000), 3509.4900, 3536.5400, 3492.9600, 3496.3300, 39739192.1000, 2901461.0000)]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看最后5个交易日的K线值\n",
    "k[-5:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3624.2400000000002\n"
     ]
    }
   ],
   "source": [
    "#遍历查询最大收盘价\n",
    "max_close = 0\n",
    "for v in k:\n",
    "    if v.close > max_close:\n",
    "        max_close = v.close\n",
    "print(max_close)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "K线数据（KData）其实是有KRecord组成的数组，KRecord的属性如下："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "日期 -  2020-09-10 00:00:00\n",
      "开盘价 -  3282.23\n",
      "最高价 -  3285.4700000000003\n",
      "最低价 -  3227.64\n",
      "收盘价 -  3234.82\n",
      "成交金额 -  30967673.6\n",
      "成交量 -  3124728.0\n"
     ]
    }
   ],
   "source": [
    "print(\"日期 - \", k[0].datetime)\n",
    "print(\"开盘价 - \", k[0].open)\n",
    "print(\"最高价 - \", k[0].high)\n",
    "print(\"最低价 - \", k[0].low)\n",
    "print(\"收盘价 - \", k[0].close)\n",
    "print(\"成交金额 - \", k[0].amount)\n",
    "print(\"成交量 - \", k[0].volume)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3 Query详解\n",
    "========\n",
    "\n",
    "获取Stock的K线数据，需要指定查询条件，可按索引和日期两种方式查询。\n",
    "\n",
    "构建按索引方式查询条件：Query(start=0, end=None , kType=Query.DAY, recoverType=Query.NO_RECOVER)\n",
    "\n",
    "构建按日期方式查询条件：QueryByDate(start=None, end=None, kType=Query.DAY, recoverType=Query.NO_RECOVER)\n",
    "\n",
    "其中，索引遵循Python的惯用方式，即以0位起始，以[start, end)的方式查询，支持负数表示倒叙; 按日期查询同样遵循[start, end)惯例。\n",
    "\n",
    "kType: 为K线数据类型（日线、分钟线、周线等）:\n",
    "\n",
    "    - Query.DAY      日线\n",
    "    - Query.WEEK     周线\n",
    "    - Query.MONTH    月线\n",
    "    - Query.QUARTER  季线\n",
    "    - Query.HALFYEAR 半年线\n",
    "    - Query.YEAR     年线\n",
    "    - Query.MIN      1分钟线\n",
    "    - Query.MIN5     5分钟线\n",
    "    - Query.MIN15    15分钟线\n",
    "    - Query.MIN30    30分钟线\n",
    "    - Query.MIN60    60分钟线\n",
    "    \n",
    "recoverType：为复权类型（不复权、前向复权、后向复权、等比前向复权、等比后向复权），仅支持日线复权：\n",
    "\n",
    "    - Query.NO_RECOVER     不复权\n",
    "    - Query.FORWARD        前向复权\n",
    "    - Query.BACKWARD       后向复权\n",
    "    - Query.EQUAL_FORWARD  等比前向复权\n",
    "    - Query.EQUAL_BACKWARD 等比后向复权"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3.1 按索引方式查询K线数据\n",
    "-------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#查询股票前100个交易日的K线数据\n",
    "k = s.get_kdata(Query(0, 100))\n",
    "\n",
    "#查询股票最后100个交易日K线数据\n",
    "k = s.get_kdata(Query(-100))\n",
    "\n",
    "#查询股票第199个交易日到第209个交易日的K线数据\n",
    "k = s.get_kdata(Query(200, 210))\n",
    "\n",
    "#查询股票倒数第100个交易日至倒数第10个交易日的K线数据\n",
    "k = s.get_kdata(Query(-100, -10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "3.2 按日期方式查询K线数据\n",
    "--------------------------\n",
    "\n",
    "按日期查询同样遵循 [start, end) 惯例。\n",
    "\n",
    "日期类型为Hikyuu库中定义的 Datetime，其记录的是“年月日时分”。可使用Python的datetime类型、日期字符串或数字表示法进行构建:\n",
    "\n",
    "- Datetime(datetime.date(2017,1,1))  - 从Python的datetime构建\n",
    "- Datetime('2017-1-1 9:35') - 通过日期字符串构建\n",
    "- Datetime(201701010935) - 通过数字进行构建，数字格式须如“yyyymmddhhmm”（4位年份2位月份2位小时数2位分钟数）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#查询2017年1月1日至今的日线数据\n",
    "k = s.get_kdata(Query(Datetime(201701010000)))\n",
    "\n",
    "#查询2017年1月1日至3月31日日线数据\n",
    "k = s.get_kdata(Query(Datetime(201701010000), Datetime(201704010000)))\n",
    "\n",
    "#查询2017年1月5日1分钟线数据\n",
    "k = s.get_kdata(Query(Datetime(201701050000), Datetime(201701060000), ktype=Query.MIN))\n",
    "k.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3.3 查询复权日线\n",
    "----------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "s = sm['sz000603']\n",
    "\n",
    "#查询股票最后100个交易日K线数据，不复权\n",
    "k = s.get_kdata(Query(-100))\n",
    "k.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#查询股票最后100个交易日K线数据，后向复权\n",
    "k = s.get_kdata(Query(-100, recover_type=Query.BACKWARD))\n",
    "k.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
